> Markdown version of [/jobs/ext/4580529-data-scientist](https://www.wearedevelopers.com/jobs/ext/4580529-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Intel Corporation - **Location:** Phoenix, AZ, United States - **Experience:** Experienced - **Salary:** $136,900.0 - $228,070.0 - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Business Analytics Applications, Computer Vision, Computer Programming, Data Infrastructure, Data Integrity, Database Applications, Database Development, Github, Machine Learning, Raw Data, Web Applications, Scripting, Deep Learning, Information Technology - **Published:** November 5, 2026 - **Apply:** https://www.phoenixjobs.com/job.asp?id=3496664381&tx=FP8178FFQ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience would be obtained through a combination of prior education level classes, and current level school classes, projects, research, and relevant previous job and internship experience., * PhD in Computer Science, Statistics, or a related field; OR * Master's degree in Computer Science, Statistics, or a related field with 3+ years of hands-on experience in data science * Proficiency in Python programming. * Familiarity with database development and management. * Hands-on experience with GitHub-based code development workflows. * Demonstrated ability to deploy and maintain agents and /or web applications., * Experience with Intel-specific challenges, such as image recognition or metamodeling of Intel datasets. * Exposure to advanced AI/ML techniques relevant to Intel's unique data environments. * Strong communication skills to collaborate effectively across teams and present findings. * Passion for leveraging data science to drive innovation and solve real-world problems. We invite talented candidates who are excited about tackling meaningful challenges, contributing to groundbreaking advancements, and growing within a team that values diversity, collaboration, and curiosity. Join us to make a lasting impact at Intel. ## Description Embark with us on a journey of growth and transformation as we create exceptionally engineered technology and bring AI everywhere. As a valued team member, your adaptability and attention to detail will contribute to our drive for results and relentless pursuit of quality, ensuring we meet our customers' needs with precision., * Develop algorithms and applications to address business challenges using coding and large-scale experimentation. * Build data-driven applications that translate raw data into actionable intelligence. * Apply predictive modeling, statistical analysis, and other techniques to explore and interpret data. * Organize, structure, and communicate insights through visualizations, dashboards, and presentations that support decision-making. * Detect and correct data anomalies while ensuring data integrity. * Design, develop, and optimize AI/ML and deep learning frameworks for training and inference. * Collaborate with development teams and business units to ensure scalable implementation of models. * Explore and compile data from various sources in partnership with technical teams to derive insights and predictions. * Troubleshoot and support service offerings using analytical platforms, commercial tools, and custom scripts. * Establish methodologies for data science, including coding, analytics, and experimentation., This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.